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This study presents a detailed modelling and implementation of a high-performance wireless communication system that combines 1024-QAM modulation with Single Carrier Frequency Division Multiple Access (SC-FDMA), Orthogonal Frequency Division Multiple Access (OFDMA), MIMO configurations, and Forward Error Correction (FEC) techniques. Developed using a Simulink-based design framework, the system is further translated into HDL-compatible subsystems via HDL Coder for hardware realization. Simulation results indicate that while 1024-QAM delivers enhanced spectral efficiency by encoding 10 bits per symbol, it also introduces greater sensitivity to noise. The application of convolution encoder and Viterbi decoder effectively reduces the Bit Error Rate (BER) by 17%. The use of MIMO further contributes to improve data throughput and spatial diversity. The proposed co-design methodology offers a scalable solution for real-time prototyping of physical layer (PHY) components in LTE-Advanced and 5G NR NSA (Non-Standalone) systems, aligning well with practical industry deployment scenarios.

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HDL-Compatible Modeling of 1024-QAM MIMO SC-FDMA/OFDMA Systems with Convolutional Encoder and Viterbi Decoder in LTE-A and 5G NR NSA

  • 会议论文

  • 发表日期：

    2025年

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  • Sheeja Nair,
  • Sunil Karamchandani,
  • V. Venkataramanan

摘要

This study presents a detailed modelling and implementation of a high-performance wireless communication system that combines 1024-QAM modulation with Single Carrier Frequency Division Multiple Access (SC-FDMA), Orthogonal Frequency Division Multiple Access (OFDMA), MIMO configurations, and Forward Error Correction (FEC) techniques. Developed using a Simulink-based design framework, the system is further translated into HDL-compatible subsystems via HDL Coder for hardware realization. Simulation results indicate that while 1024-QAM delivers enhanced spectral efficiency by encoding 10 bits per symbol, it also introduces greater sensitivity to noise. The application of convolution encoder and Viterbi decoder effectively reduces the Bit Error Rate (BER) by 17%. The use of MIMO further contributes to improve data throughput and spatial diversity. The proposed co-design methodology offers a scalable solution for real-time prototyping of physical layer (PHY) components in LTE-Advanced and 5G NR NSA (Non-Standalone) systems, aligning well with practical industry deployment scenarios.